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mcp-server-chart vs AgentRecall-MCP

Side-by-side comparison to help you pick between these two MCP servers.

mcp-server-chart
by antvis
AgentRecall-MCP
by Goldentrii
Stars★ 4,068★ 252
30d uses10,239
Score8451
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last committhis monththis month

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

AgentRecall-MCP · Summary

AgentRecall provides AI session memory with Think-Execute-Reflect quality loops to enable persistent, compounding memory for AI agents.

mcp-server-chart · Use cases

  • Data analysts creating visual reports from datasets
  • AI assistants generating custom charts based on user requests
  • Web applications embedding visualization capabilities via HTTP API

AgentRecall-MCP · Use cases

  • Persistent memory for AI agents working across multiple sessions
  • Knowledge management for development teams using Claude or similar AI tools
  • Bootstrap import from existing memory systems like Claude AutoMemory

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

AgentRecall-MCP · Install

Installation

  1. Install the MCP server via npm:
npm install -g agent-recall-mcp
  1. Add to Claude Desktop configuration:
{
  "mcpServers": {
    "agent-recall": {
      "command": "npx",
      "args": ["agent-recall-mcp"]
    }
  }
}
  1. Run /arbootstrap to import existing memory systems and projects.
Comparison generated from public README + GitHub signals. Last updated automatically.